Visual Binning is a tool for grouping continuous or ordinal variable values into a limited number of categorical bins. It allows users to manually define bins or automatically generate bins of equal width, equal percentiles, or based on standard deviations. Binned categories can be copied between variables. User-missing values from the source variable are treated as missing in the binned variables.
Investment Decision — Capital Budgeting Techniques — Pay Back Method — Accounting Rate Of Return — NPV — IRR — Discounted Pay Back Method — Capital Rationing — Risk Adjusted Techniques Of Capital Budgeting. — Capital Budgeting Practices
Investment Decision — Capital Budgeting Techniques — Pay Back Method — Accounting Rate Of Return — NPV — IRR — Discounted Pay Back Method — Capital Rationing — Risk Adjusted Techniques Of Capital Budgeting. — Capital Budgeting Practices
This is a Behavioral Finance Lesson material which delivered by me for PhD students of Faculty of Business Administration in Karvina, Silesian University.
The concept of the Security Market Line is very popular for portfolio management. It helps to derive the pricing of risky securities by plotting their expected returns.
To know more about it, click on the link given below:
https://efinancemanagement.com/investment-decisions/security-market-line
This is a Behavioral Finance Lesson material which delivered by me for PhD students of Faculty of Business Administration in Karvina, Silesian University.
The concept of the Security Market Line is very popular for portfolio management. It helps to derive the pricing of risky securities by plotting their expected returns.
To know more about it, click on the link given below:
https://efinancemanagement.com/investment-decisions/security-market-line
Producción del Biocarbón Proyecto de
Edgar Aduviri Apaza
Dennis Arce Romero
Edwin V. Lamas Sivila
Ricardo Mendez
Universidad Técnica de Oruro (UTO)
semifinalista del Concurso Innova Bolivia 2013 organizado por la Fundacion Maya.
El Video esta en: http://www.youtube.com/watch?v=atPxDav5F-Q&feature=share&list=PLuMDl3xWOiTQfxu2xEx6h72Nsq_yay54D
Si quieres saber mas de este proyecto escribennos a:
mail: info@innovabolivia.bo
Twitter: @BoliviaInnova
Facebook: https://www.facebook.com/BoliviaInnova
Web: www.innovabolivia.bo
WiMAX Networks was once popular in 2009 and quickly faded away.
The case examined in 1 of Pakistan WiMAX operators showed how the network failed to meet customer expectation
How to make team collaboration suck less!Brian LaMee
Working with people can sometimes suck. You know how it goes, you have to get a team together, you hold countless (or pointless) meetings, nobody knows what the tasks are and who was supposed to do what, nobody can find the right documents or the right version and nobody can access any of the tools to share documents when you need them. This is usually the point where you just throw your hands up and scream, “FORGET IT, I WILL JUST DO IT MYSELF!”
But for most things, you can’t do it all by yourself. You need to collaborate with other members of your team, or other teams in the company or maybe even people outside your organization. Tools have always helped us make things suck less. The airplane made it suck less to get across the ocean, calculators made it suck less to do complex mathematical calculations and now the Cloud and Collaboration tools are making it suck less to work on projects and stay connected as teams.
Space Policy - Vis Viva - 10th bi-weekly meeting - August 7, 2013Society Vis Viva
This presentation was given by Philippe Carous, LLM Air and Space Law, at the 10th bi-weekly meeting of the Society of Space Professionals Vis Viva.
It shall be pointed out that our meetings are about more than just slides—they are about the interaction of our Fellows. Vis Viva offers a forum for the active discussion of space topics, and so our talks are lively get-together with a permanent conversation of the speaker and the audience. Since just slides cannot get this across, we kindly invite you to join one of our bi-weekly activities.
For sales data analysis, by creating data breakdowns and filters (example by region, product, salesperson, etc). Objective of Easy Pivot is to provide alternative, easier to understand Pivot Table.
A Skills Approach Excel 2016 Chapter 8 Exploring Advanced D.docxdaniahendric
A Skills Approach: Excel 2016 Chapter 8: Exploring Advanced Data Analysis
1 | Page Skill Review 8.1 Last Updated 4/4/18
Skill Review 8.1
In this project, you will analyze sales data using consolidation, subtotals, outlines, conditional formatting,
advanced filters, PivotTables, and PivotCharts.
Skills needed to complete this project:
• Using Consolidate to Create Subtotals
• Sorting Data on Multiple Criteria
• Adding Subtotals
• Creating an Outline
• Creating New Conditional Formatting Rules
• Filtering and Sorting Using Cell Attributes
• Managing Conditional Formatting Rules
• Using Advanced Filter
• Refreshing Data in a PivotTable
• Adding a Calculated Field to a PivotTable
• Changing the Look of a PivotTable
• Filtering PivotTable Data
• Filtering Data in a PivotChart
• Changing the Look of a PivotChart
This image appears when a project instruction has changed to accommodate an update to
Microsoft Office 365. If the instruction does not match your version of Office, try using the alternate instruction
instead.
1. Open the start file EX2016-SkillReview-8-1. The file will be renamed automatically to include your name.
Change the project file name if directed to do so by your instructor, and save it.
2. If the workbook opens in Protected View, click the Enable Editing button in the Message Bar at the top
of the workbook so you can modify the workbook.
3. Use consolidate to create a summary of the sales data by region. The summary will be located on the
Analysis worksheet.
a. Go to the Analysis worksheet, and select cell A2.
b. On the Data tab, in the Data Tools group, click the Consolidate button.
c. Verify that Sum is selected in the Function box.
d. If there are any references in the All references box, click each and then click the [Delete] button to
remove them.
e. Click in the Reference box, and then click the Sales Data worksheet tab. Click and drag to select cells
C3:E67.
f. Click both the Top row and Left column check boxes.
g. Click OK.
h. On the Analysis worksheet, delete cells B2:B10, allowing the other cells to shift left.
Step 1
Download
start file
A Skills Approach: Excel 2016 Chapter 8: Exploring Advanced Data Analysis
2 | Page Skill Review 8.1 Last Updated 4/4/18
4. Sort the sales data alphabetically by region and then by last name.
a. Go to the Sales Data worksheet, and click any cell in the data set.
b. On the Data tab, in the Sort & Filter group, click the Sort button.
c. In the Sort dialog, expand the Sort by list, and select Region.
d. Click the Add Level button.
e. Expand the Then by list, and select Last Name.
f. Click OK.
5. Add subtotals to the data to calculate the total commission earned for each sales associate.
a. On the Data tab, in the Outline group, click the Subtotal button.
b. Expand the At each change in list, and select Last Name.
c. Verify that Sum is selected in the Use function box.
d. Verify th ...
The article gives you the complete knowledge about the benefits of Service Detailing in Revit MEP. Are you aware of annotation and tagging in Revit? Lets take the first step by knowing the concepts of Annotation and Tagging in Revit.
Reasons to use a constraint-based product configuration model.
-Respond to the specialized needs of the customer.
-Reduce high costs tied to stocking and moving inventory.
-Lower records maintenance by reducing the number of products and BOMs’ managed.
Developer license is not required to create and maintain product configuration models in Microsoft Dynamics AX 2012.
Customers can purchase items that meet their individual needs. Instead of having one or two choices when purchasing a home entertainment system, through Constraint Based Configuration and Dynamics AX you can configure the product specifically for a customer.
This Article explores the Test Automation challenges associated with the GridGain Control Centre (https://www.gridgain.com/).
The test framework is based on BDD/Selenide/Java/IntelliJ.
The exploratory tests look at five key User Journeys in the application.
I am the authorized K-12 representative in South Carolina for eInstruction by Turning Technologies
Bill McIntosh
SchoolVision Inc..
Authorized South Carolina K-12 Consultant for eInstruction / Turning Technologies
Phone :843-442-8888
Email :WKMcIntosh@Comcast.net
Twitter : @OtisTMcIntosh
SchoolVision Website on Facebook: https://www.facebook.com/WKMIII
Website : www.einstruction.com
For technical assistance on all eInstruction® or Turning Technologies products please call 866-746-3015
Turning Technologies | 255 West Federal Street | Youngstown, OH Main: 330-746-3015 | Toll Free: 866-746-3015 | Fax: 330-884-6065
www.TurningTechnologies.com
Functional coverage is a user-defined coverage which maps
each functionality defined in the test plan to be tested to a
cover point. Whenever the functionality to be tested is hit in
the simulation, the functional coverage point is automatically updated.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
4. 6/17/13 Visual Binning
publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/advanced/print.jsp?topic=/com.ibm.spss.statistics.help/idh_bander_gating.htm&pageBreak=true&breakConfi… 4/9
2. Binning Variables
The Visual Binning main dialog box provides the following information for the scanned variables:
Scanned Variable List. Displays the variables you selected in the initial dialog box. You can sort
the list by measurement level (scale or ordinal) or by variable label or name by clicking on the
column headings.
Cases Scanned. Indicates the number of cases scanned. All scanned cases without user-
missing or system-missing values for the selected variable are used to generate the distribution
of values used in calculations in Visual Binning, including the histogram displayed in the main
dialog box and cutpoints based on percentiles or standard deviation units.
Missing Values. Indicates the number of scanned cases with user-missing or system-missing
values. Missing values are not included in any of the binned categories. See the topic User-
Missing Values in Visual Binning for more information.
Current Variable. The name and variable label (if any) for the currently selected variable that
will be used as the basis for the new, binned variable.
Binned Variable. Name and optional variable label for the new, binned variable.
• Name. You must enter a name for the new variable. Variable names must be unique and must
follow variable naming rules. See the topic Variable names for more information.
• Label. You can enter a descriptive variable label up to 255 characters long. The default
variable label is the variable label (if any) or variable name of the source variable with (Binned)
appended to the end of the label.
Minimum and Maximum. Minimum and maximum values for the currently selected variable,
based on the scanned cases and not including values defined as user-missing.
Nonmissing Values. The histogram displays the distribution of nonmissing values for the
currently selected variable, based on the scanned cases.
• After you define bins for the new variable, vertical lines on the histogram are displayed to
indicate the cutpoints that define bins.
• You can click and drag the cutpoint lines to different locations on the histogram, changing the
bin ranges.
• You can remove bins by dragging cutpoint lines off the histogram.
Note: The histogram (displaying nonmissing values), the minimum, and the maximum are based on
the scanned values. If you do not include all cases in the scan, the true distribution may not be
accurately reflected, particularly if the data file has been sorted by the selected variable. If you
scan zero cases, no information about the distribution of values is available.
Grid. Displays the values that define the upper endpoints of each bin and optional value labels
for each bin.
• Value. The values that define the upper endpoints of each bin. You can enter values or use
Make Cutpoints to automatically create bins based on selected criteria. By default, a cutpoint
with a value of HIGH is automatically included. This bin will contain any nonmissing values
above the other cutpoints. The bin defined by the lowest cutpoint will include all nonmissing
values lower than or equal to that value (or simply lower than that value, depending on how
you define upper endpoints).
• Label. Optional, descriptive labels for the values of the new, binned variable. Since the values
6. 6/17/13 Visual Binning
publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/advanced/print.jsp?topic=/com.ibm.spss.statistics.help/idh_bander_gating.htm&pageBreak=true&breakConfi… 6/9
3. Automatically Generating Binned Categories
The Make Cutpoints dialog box allows you to auto-generate binned categories based on selected
criteria.
To Use the Make Cutpoints Dialog Box
From the menus in the Data Editor window choose:
Transform > Visual Binning...
Select the numeric scale and/or ordinal variables for which you want to create new categorical
(binned) variables.
Click Continue.
Select (click) a variable in the Scanned Variable List.
Click Make Cutpoints.
Select the criteria for generating cutpoints that will define the binned categories.
Click Apply.
Note: The Make Cutpoints dialog box is not available if you scanned zero cases.
Equal Width Intervals. Generates binned categories of equal width (for example, 1–10, 11–20,
and 21–30) based on any two of the following three criteria:
• First Cutpoint Location. The value that defines the upper end of the lowest binned category
(for example, a value of 10 indicates a range that includes all values up to 10).
• Number of Cutpoints. The number of binned categories is the number of cutpoints plus one.
For example, 9 cutpoints generate 10 binned categories.
• Width. The width of each interval. For example, a value of 10 would bin age in years into 10-
year intervals.
Equal Percentiles Based on Scanned Cases. Generates binned categories with an equal
number of cases in each bin (using the aempirical algorithm for percentiles), based on either
of the following criteria:
• Number of Cutpoints. The number of binned categories is the number of cutpoints plus one.
For example, three cutpoints generate four percentile bins (quartiles), each containing 25% of
the cases.
• Width (%). Width of each interval, expressed as a percentage of the total number of cases.
For example, a value of 33.3 would produce three binned categories (two cutpoints), each
containing 33.3% of the cases.
If the source variable contains a relatively small number of distinct values or a large number of
cases with the same value, you may get fewer bins than requested. If there are multiple
identical values at a cutpoint, they will all go into the same interval; so the actual percentages
may not always be exactly equal.
Cutpoints at Mean and Selected Standard Deviations Based on Scanned Cases. Generates
binned categories based on the values of the mean and standard deviation of the distribution of
the variable.